Data Visualization

Understand and build beautiful and advanced plots with Matplotlib and Python

Get to grips with Kibana and its advanced functions to create interactive visualizations and dashboards.

A beginner's guide to analyzing and visualizing your Elasticsearch data using Kibana 7 and Timelion

Create and animate stunning 3D browser based graphics with Three.js JavaScript library

Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.js data visualization library.

A quick start guide to visualize your Elasticsearch data

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python

Progressively explore UI development with Shiny via practical examples

Understand, explore, and effectively present data using the powerful data visualization techniques of Python programming.

The goal of this course is to learn how to use Python and Spark to ingest, process, and analyze large volumes of data with different structures to generate insights and useful metrics from the data, walking through real-life examples and use cases.

Develop informative and aesthetic visualizations that enable effective data analysis in less time